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# AI Software Engineer / Applied AI Engineer

- **Company:** Concentrix Corporation
- **Location:** Homelake, CO, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Software Debugging, Information Extraction, Python (Programming Language), OpenAI, Search Technologies, Software Engineering, Systems Integration, TypeScript, Workflow Management Systems, Enterprise Search, Microsoft Agent Framework, Enterprise Software Applications, Spring Cloud, ReactJS, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Apache Spark, Generative AI, Agentic-AI, Microsoft Copilot Studio, AI Platforms, Google Cloud Functions, Machine Learning Operations, Invoking Functions, Restful APIs, Api Management, Databricks
- **Published:** October 30, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/ai-software-engineer-applied-ai-engineer/11979686

## About the Role

* Strong Python development skills with a solid foundation in software engineering principles.
 * Hands-on experience designing and developing GenAI and LLM-based applications.
 * Experience building RAG solutions using embeddings, vector search, semantic search, and retrieval-augmented architectures.
 * Practical experience with agentic AI, tool/function calling, and workflow orchestration.
 * Experience with Microsoft Foundry, Azure OpenAI, or an equivalent enterprise AI platform.
 * Experience with Azure AI Search or equivalent vector/search technologies.
 * Experience developing and integrating REST APIs with enterprise systems.
 * Experience building cloud-native applications on Azure, including Azure Function Apps, API Management, or related services.
 * Strong analytical, debugging, problem-solving, and communication skills.
 * Ability to work effectively with cross-functional business and technical teams in a collaborative delivery environment.

Preferred Qualifications

 * Experience with Microsoft Copilot Studio and/or Power Platform.
 * Familiarity with Microsoft Agent Framework, LangGraph, or similar AI orchestration frameworks.
 * Understanding of MCP and multi-agent architectures.
 * Experience with Databricks, MLflow, Spark, Snowflake, or similar data and analytics platforms.
 * Experience with Azure Document Intelligence.
 * Familiarity with LLM observability, testing, evaluation, monitoring, and governance platforms.
 * Experience with React, TypeScript, or modern web development frameworks.

## Description

Reposted 2 Hours Ago
In-Office or Remote
Hiring Remotely in Homelake, CO, USA
Entry level
In-Office or Remote
Hiring Remotely in Homelake, CO, USA
Entry level
Designs, develops, and deploys enterprise Generative AI and LLM applications. Builds RAG architectures, agentic AI workflows, vector search and retrieval pipelines, REST API integrations, and cloud-native Azure services. Works with stakeholders and engineering teams to deliver secure, scalable solutions, supporting testing, deployment, monitoring, troubleshooting, and optimization. Requires strong Python, AI application development, Azure, search, API, and software engineering skills.
The summary above was generated by AI, You will work closely with business stakeholders, architects, product teams, and engineering teams to transform ideas into secure, scalable, and production-ready AI solutions., * Design, develop, and deploy GenAI and LLM-powered applications for enterprise use cases.

 * Build, optimize, and maintain RAG-based solutions using embeddings, vector search, semantic search, and retrieval pipelines.
 * Develop agentic AI capabilities using tool/function calling, workflow orchestration, and intelligent automation patterns.
 * Integrate AI services with enterprise systems through REST APIs, cloud services, and scalable integration patterns.
 * Develop cloud-native applications and services on Azure, including Azure Function Apps, API Management, and related services.
 * Work with Microsoft Foundry, Azure OpenAI, Azure AI Search, or equivalent enterprise AI and search platforms.
 * Support end-to-end deployment activities, including design, development, testing, release, monitoring, and optimization.
 * Collaborate with business and technical teams to understand requirements, recommend solution approaches, and deliver innovative AI capabilities.
 * Troubleshoot technical issues, improve system performance, and apply strong analytical thinking to solve complex engineering challenges.
 * Stay current with emerging GenAI tools, frameworks, and engineering practices to continuously improve solution quality and delivery.